Abstract
Artificial Neural Network has been trained to perform complex functions in various fields of applications including pattern recognition, identification speech, vision and control system. This report presents ANN speed controller for an induction motor which behaves similar to PI (Proportional and integral) controller. The model of induction motor is designed using the relevant equations. A closed-loop system is used for testing. The induction motor speed is control by ANN Technique using samples obtained from the classical technique (PI controller) and Direct Torque Control (DTC) controller. The data for training ANN is generated by simulating a model of the induction motor using SIMULINK. In supervised session, back propagation method will be applied in ANN programs. Comparison is made between classical technique and ANN technique.
Metadata
Item Type: | Thesis (Degree) |
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Creators: | Creators Email / ID Num. Abdul Aziz, Hayati Nur UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Abdul Hadi, Razali UNSPECIFIED |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering |
Programme: | Bachelor of Electrical (Hons) Engineering |
Keywords: | ANN, neural, network |
Date: | 2004 |
URI: | https://ir.uitm.edu.my/id/eprint/84647 |
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